Ping Wang
I received the B.S and M.S. degrees in control theory and control engineering from Lanzhou University of Technology, Lanzhou, China, in 2011 and 2014, respectively, and the Ph.D. degree in instrument science and technology from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2019. I am currently a lecturer in the College of Electrical and Information Engineering, Lanzhou University of Technology. My primary research interests are computer vision, artificial intelligence and signal processing.
All codes of our works are available at https://github.com/pingwangsky If this link does not work, please copy it into your browser.
Email: pingwangsky@163.com; pingwangsky@gmail.com;
News
A simple direct solution of the perspective-three-point problem. [CODE]
Publications
王 平*, 姚登银, 谯睿, 张涛, 姚鹏鹏. 基于双直线的镜头畸变参数估计方法. 光学学报, 2023, 43(13): 200−208. [CODE]
王 平*, 付辉, 徐贵力 . 基于旋转搜索的相机位姿估计和对应点匹配. 航空学报,2023, 44(2): 326695. [CODE]
王 平*, 何卫隆, 张爱华, 姚鹏鹏, 徐贵力 . EPnL:一种精确且高效的PnL问题求解算法. 自动化学报,2022, 48(10): 2600−2610. [CODE]
YongXin Chou, Ping Wang* and Yufeng Feng. The Optimal Morphological Model for Arterial Blood Pressure Wave Related Classification: Comparison of Two Types of Kernel Function Mixtures. IEEE Access, vol. 8, pp. 4133-4148, 2020. [PDF]
林冬梅,张爱华*,沈蓉,王平,杨力铭,陈晓雷. 双目视觉脉搏测量系统中的相机同步采集方法. 吉林大学学报(工), 45(6), 1999-2006, 2015. [PDF]
Yongxin Chou, Aihua Zhang*, Ping Wang and Jason Gu. Pulse rate variability estimation method based on sliding window iterative DFT and Hilbert transform. Journal of Medical and Biological Engineering, vol. 34, no. 4, pp. 347-355, 2014. [PDF]
张爱华*, 王平, 丑永新. 基于动态差分阈值的脉搏信号峰值检测算法. 吉林大学学报(工), 44(3), 847-853, 2014. [PDF]
Applications
UAV Landing
Our SRPnP method is used in UAV Landing.
Rendezvous and docking
Our SRPnP method is used in the simulated Rendezvous and docking.
Pose Estimation Tool
We provided a C++ version Pose Estimation Tool, which contains the proposed methods in our papers, to facilitate the applicataions of pose estimation methods. [Download]
GBSolver
GBSolver is an automatic procedure for generating Gröbner basis solvers, which could be used even by non-experts to solve technical problems, such as finding the solutions of multivariate polynomials. GBSolver provides the possibilities to solve more complicated problems which could not be handled manually or solving existing problems in a better and more efficient way. Using GBsolver must be suppored by the Maple. Unfortunately, the lastly MATLAB has removed the Maple toolbox, hence we provide an old version, MATLAB 2007b, to download. [GBSolver ] [MATLAB 2007b]